Senior Clinical Context Engineer

🕒 il y a 3 mois

🗣️🇺🇸🇬🇧 Anglais requis

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Doctronic

51 - 200 employés

🤖 Intelligence artificielle

👥 B2C

☁️ SaaS

🔥 Financement dans la dernière année

💰 €20 000 000 Series A en 2025-10

Artificial Intelligence • B2C • SaaS

Doctronic est une plateforme de télésanté alimentée par l'IA qui offre des consultations médicales gratuites par l'IA et connecte les utilisateurs avec des médecins agréés aux États-Unis pour des visites vidéo, des prescriptions et des traitements couvrant les soins primaires et les spécialités. Elle propose une évaluation des symptômes à la demande, 24h/24 et 7j/7, le renouvellement des ordonnances et des rendez-vous de suivi, stocke des dossiers médicaux sécurisés conformes à la norme HIPAA, et souligne que son IA fournit des suggestions tandis que les médecins agréés prennent les décisions cliniques finales.

Description

• Write and refine medical guidelines and prompts that enable our LLMs to provide accurate clinical responses • Translate medical knowledge into structured formats for our agentic workflows and knowledge graph • Ensure AI outputs align with current medical standards across urgent care, primary care, chronic disease management, and medication management • Organize medical databases supporting our AI agents and consensus models • Develop evaluation frameworks to assess LLM performance in clinical contexts • Create metrics specific to diagnosis accuracy, treatment appropriateness, and prescription safety • Day-to-day interaction with engineering team to develop and refine architecture • Gather feedback from our physician network to identify improvement opportunities • Partner with engineering on integration between AI doctor and EHR system

🎯 Exigences

• MD, DO, or equivalent; completed residency in any specialty • Strong clinical decision-making skills with experience in urgent care, primary care, or internal medicine preferred • Data science background and a deep understanding of managing large databases • Demonstrated deep knowledge of AI and large language models • Experience with or strong interest in prompt engineering • Comfort with iterative testing and rapid prototyping • Familiarity with EHR systems and clinical workflows • Proven ability to manage multidisciplinary teams • Exceptional writing and editorial skills for medical content • Experience developing clinical protocols or guidelines • Previous experience at healthcare technology companies or digital health startups • Understanding of HIPAA compliance and healthcare data privacy

🏖️ Avantages

• Direct impact on healthcare accessibility for millions of patients • Opportunity to shape AI medical standards at a pioneering company • Work with world-class AI technology unique in the industry • Competitive equity package

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